Transcription
Hello everyone. In this video, we will get acquainted with Notebook LM. It's an AI notebook from Google. Its main difference from other neural networks is that it works exclusively with the documents you upload into it, right? And so, it doesn't hallucinate, it doesn't make things up, it simply searches within the knowledge base that you have given it. Well then, let's take a look. Accordingly, I go to notebooklm.google. The link, accordingly, will be in the description. Well, let's try. I've already been here, and I've already connected the setup. I activated the subscription. Of course, I did it through a fake card. Here, I don't even remember where I clicked yesterday. Tariff plan. Here, my first month costs like zero British pounds. I accessed it from a British VPN. I have a British virtual card. Accordingly, I logged in, and they offered me the first month for 0 British pounds. And these functions, like 2 GB of storage, some Google VO3, some Flow, Notebook LM, Gemini, and that's all. Well, I couldn't use Gemini, it still detects that I'm from Russia, so let's, well, Notebook LM seems to be working somehow. What awaits us here? Well, accordingly, everything is already in Russian. I like that. We are not interested in any settings for now. Discord, results language, all that doesn't matter. Hmm, Google accounts, nothing is important to us. Let's see what we have here. There are already some recommended notebooks from other users. Who created them? Secrets of the long-lived, globalization, how scientists find connections, income reports, digital age. Advice for parents. This one is worth reading, by the way. Well, let me try to create my own. It says, I need to add sources. Upload sources. What sources can we upload here? These can be PDFs, text files, or they can be MP3 files, docs, images, web pages, images, images, images, images, images. Well then, let me try to record, for example, an export of my Telegram channel. I'll take my Telegram channel. By the way, subscribe. Every day I talk about how to work with neural networks, how to earn money from them. So, I'll export it. There's an export chat history option. Accordingly, I'll export it and also take my long article about my career, right, how I went from cartoons to bots, to neural networks. I have this article on Zen. The link, if you want, is also in the description. A large material, a lot of text. I'll try to upload all of this into Notebook LM. Let's choose. So, I've uploaded it, accordingly, it says: "Career Trajectory". This extensive text is a detailed autobiography formed on the author's career path, who went from creating flash cartoons to developing bots. The story begins with early interests. La-la-la-la-la-la. So, this is what I got, a note. Okay. Add sources. What do we see here, accordingly? We can add more sources. Find new sources on the internet. You can search for something on the internet, accordingly. We probably won't do that for now. So. And select all sources. For now, there is only one source, as we can see. Well, let's add another one. I want to add an HTML file. No, it says it won't add HTML. So, exporting the channel history as an HTML page is not added. Okay, let's convert it to text. So, we'll open this entire history, we'll select it. Oops, Ctrl C. Create a text document. Also, save file. So. And now let's upload the text file. Here, it's analyzing it. Got it. Let's select this source. What will happen? The source represents the chat here. Interestingly, in the chat, there is only one history. Let's figure this out now. Source guide. The source represents the author's chronicle of personal professional development from October 2023 to November. Focusing on two key themes: blogging and integration of artificial intelligence into work business processes. Ah, la-la-la-la-la-la-la-la-la. Okay. Collapse the source. You can also open this source. Here is a similar story. Okay. Now I have two sources. Now I can, of course, add new chats. What's in the chat? Oh, this history collapses. Okay. Adjust the notebook. Notebook settings. Well, let's take a look. So, this is all one space where we work, in which there are now two sources. You can adjust the notebook, for example, so that it helps you in research, learning, suggests different points of view, uses a specific style and tone. Choose the goal, communication style, based on conversation, choose the length of responses. In short, well, it's clear, nothing interesting. Delete chat history. Chat history is only available to you. Okay. So, chat. Where is it? Ah, here's the text. Yes. What are the key stages that characterized the author from animation to text? What business models, video studio, stock for earning and growth? Aha. So, we can ask questions, actually, about these things. Well, let's go. What was the author doing in 2017? And here it goes, searching through these two stories, studying what can be found. In 2017. Oh, a long link. Let me make it a bit smaller to make it easier to read. In 2017, the author was engaged in several activities, including working in a video studio, developing earnings on stock platforms, and also started teaching as a hobby. Main activities: working in a video studio, earning on stock platforms, teaching, creating a video business card. Oh, cool. This is it. It got most of it from the career article. But part of it got from the channel. It got this from the channel because it's not in my biography. I forgot about this fact altogether. So, it took and went through both sources and found some data. Cool. When was the Meta agency founded? When was the author's first son born? When did the course start? Well, it can ask some questions. So, we can refer to these sources and extract some information from them, like, which, well, just by chance, by details that are hard to find, which are, like, by keywords, right? Imagine if I needed to find something from 2017, it could be different numbers, it could be parts of other data, for example, 2017 could just be a document number, it could be something else, it could be prices. But here you can directly look at the weather, ask. And further, what interests me, there are some things here. Well, in the chat format, I think everything is clear. So, we can copy a summary, save it, save notes, copy, like, dislike. It suggests additional questions itself. Well, by the way, the answers may not be accurate, be sure to check them. Well, as always, they try to protect themselves, the creators of neural networks, like, well, we're not always, but it's still fewer glitches, fewer hallucinations from the neural network here, because it's still running, and we always, accordingly, you see, we can go to a specific source and here it opens the source and finds this data for each Lenovo tablet given, right? Here, please, highlight. This text. This was in 2017. Cool. Cool. Accordingly, here, well, it's clear here, we can go to this career biography. Here, 2017, 2000, late 2016, early 2017. Okay. What else is here? Questions. We understood the questions. We understood the sources. Let's go to the audio retelling studio. Generate a podcast with a host based on your sources. Video retelling. Create an explanatory video using AI. Interesting. Mind map. Generate a mind map. With AI using sources. Reports. Create reports based on. So, cards. Generate cards, text, interactive, text, unclear what, infographic, and presentation. Well then, let's try everything, yes, and see what comes out of it. I don't know how long it will take. I'll click all the buttons now. Yes, here it is, let it create a report. Brief overview. Methodological guide. Brief overview. Well, it was already done. Methodological guide. Blog post. Let's do a blog post. Let's go. There it is, all being created. Cards. Click everything, generate everything. Doesn't matter at all. Test. It's going to do it. Infographic. Presentation. If you are having trouble learning neural networks on your own, I have free guides, courses, and even a mentorship program in my bot. Follow the link in the description. Oh, the career one has already been generated. Well then, let's look at the career one. So, we have a mind map, early period, video production, personal brand development agency. We, accordingly, open it. Here we have a school, preferences. Oh, a mind map. And it unfolds, accordingly, it can be Oh, something's not very beautiful. Ah, it's all spread out, right, spread out. And all of this can, accordingly, be opened, read. Pretty cool. Pretty cool. Overall, it's quite amusing for those who love mind maps. I love mind maps, to some extent, but overall, this whole thing, this monstrous thing, it's not super convenient to navigate for some things. It's interesting to talk about something in this mode? I don't know, in short, doubtful. I have a mixed opinion about mind maps. I wonder if I'll be doing this constantly? Unlikely. So, something else. Biography. Cards have been made. Cards. Let's see what kind of cards. Oh, a test. In school years, I made flash cartoons. Based on which game? Based on the game Worms. Ta-da. I know my biography perfectly. What specialty did Alexey receive at university? I am a mathematician, systems programmer. Applied Mathematics and Informatics. Yes. While writing my thesis, what idea did I implement on a local forum? It's about passing, a guide to passing all the teachers. Ta-da-da-da. Thanks to creating video clips, I was invited to work. Video clips about the game Counter-Strike. Ta-da-da-da. Name one of the six diverse functions that I performed. One of the six. Interviewer, for example. Operator, director, screenwriter, interviewer. Here you go, cool. These are, well, basically cards like tests. Let's see what the difference is in the tests, right, because, well, here I am now, and here it's directly, well, cards, question one, and here, accordingly, tests, tests. Test. What specialty did I receive at university? Well, you already know that I have Applied Mathematics and Informatics, right? What unique project during my studies? Well, we just looked at that, what served as. Well, yes, all of this, the same questions. What was the main source of income for an apartment, selling photos and videos on stock sites? Well, stock templates, right. Good thing about financial insolvency. Well, cool, cool. You can upload some things, do tests. So, blog post. Oh, it wrote me a blog post. Let's see, let's see. How can I expand it? How Counter-Strike guide for teachers? How Counter-Strike Guide for teachers and video stocks led me to AI. Five non-obvious career lessons. What did it do? It took some information from the sources, combined them, and wrote an article, apparently. How long? Oh my god. Oh my god. A whole article. There are some five lessons here. Introduction in today's world. Oh my god, how this annoys me, you have no idea. Neural networks write this all the time. So, next we will analyze five key lessons from an amazing career path. Your next calling may be hidden in a hobby. Okay. The ability to systematize experience is a superpower. Agreed. Moving from selling time to creating assets changes everything. Creating assets is a difficult thing, but yes, the conclusion is correct. Launching a personal brand is a marathon, not a sprint. Yes, okay. Paid education is an investment in speed. Yes, here it leads to artificial intelligence. Not true. Conclusion. This story is a clear illustration of how a modern career is built. Yes, the fact that I jumped around doing nonsense. Okay. So, the biography is done. The path, we haven't looked at that. Infographic. We haven't looked at the infographic yet. Let's take a look. Damn, cool tools. Oh, I tried to do something similar with Nanobana in one of my previous videos. And it wasn't that cool. What came out, damn, is how it should be done. It should be done with Notebook LM. Quality content. I'm giving it a like. If you like it, also give this video a like. Damn, this looks cool. This is something like a year in one. From SMM agency to AI expert. Damn, this is beautiful. This is beautiful. Start October 2023. And this is from my blog specifically. Aha. Aha. Aha, aha, aha. Well, here are the conclusions, some conclusions. Growth, expertise. You are beautiful. I like it. Beautiful. Nothing is clear, but it's cool. Cool. Visualization. Well, it looks cool. The picture is awesome. So, as an infographic. So, something it failed to do. What, it couldn't do video or what? Creating video retelling. Something didn't work. Presentation, probably, right? Because what do we have? Audio is being created, video is also being created. We saw the cards. Report. Report is this blog post. Yes, we chose, when we chose report, we chose blog. Yes, blog post. Aha. Inspiring story. Damn, you can also ask for an inspiring story. I probably will be doing this. Cool. There were cards, there were tests, there was an infographic. The presentation broke. The presentation, it seems, right? Well, let's restart it. Delete presentation failed. Come on, make the presentation. So, something else has been generated. Audio. Path. And where is the audio? How does the picture look? Audio. Audio. Oh, here's the audio podcast. >> Well, let's start our analysis. And today we have a story that is simply amazing. >> Very interesting, yes. We essentially have a complete map of the thoughts and actions of a person who went from cartoons to creating, imagine, AI assistants. >> And most importantly, it's not just a glossy success story. We have two sources. There's his structured article, and there's a Telegram channel. >> The Telegram channel is a black box. All the attempts, all the mistakes. We'll open it today and see how such a winding career can lead to success. >> Cool. I need to listen to how long this is. 11:58, yes, 11 minutes of such a podcast about me, about my life. Ah, damn, let me save it and publish it on my Telegram channel. If you want, you can check it out there. That would be a joke. So, we also have video and presentation. Well, let's wait and return to these questions when they are done. So, about 10 minutes have passed. We had to wait. Well, let's look at the video, and restart the presentation. The presentation and video are ready. Let's look at the presentation first, and then move on to, um, a little bit to the video. So, a year behind the scenes, the path from videographer to AI expert and beautiful pictures with Prem Pro in the background. Beauty. Starting point October 2023. Well, he started with Telegram, exclusively Telegram. Plan: quick start, automation. Aha, aha, aha, aha. Oh, I was swearing here too. With swear words. Now I'll close it with a button. Tu-tu-tu-tu-tu-tu-tu-tu-tu. Content storm plan. Well, in short, it's creating a presentation, damn, a presentation in Russian with pictures, some pictures. It generates pictures itself. So, breakthrough on YouTube. Aha. Wilderness. Hypothesis. No face or voice in the video. Ah, it's falling apart. Change. See? Change. Not March. Found. Found. When it falls apart in Russian, a thousand under 500 on YouTube. I worked towards this for months. Excellent. Wow. Wow, wow. So, automation. Automation. Damn, this is how presentations should be made, not in your Canva. Okay, okay. Here, of course, you need to read carefully, analyze, but it's cool. It's definitely cool. This is a really good thing for preparing some material, but you naturally need to understand it. So, I can talk about myself based on this presentation. Let's watch the video too. >> Hello. How do you like this path? From school cartoons to developing complex solutions for business. Sounds almost impossible, right? But this is the story of one person, the author Alexey Eliseev. Let's see how this is even possible. GPT is tarot for IT professionals. Hmm, a strong statement. How did neural network technologies end up in the first chapter? Let's call it The Spark. And you know, it all started not with code or business at all. Ordinary school disputes and a love for games suddenly become a driving force for creativity. First, a flash cartoon about worms, just to spite a classmate named Voronov. Accordingly, this is the kind of video that comes out of my recordings, from my sources. Essentially, it's a presentation combined with a podcast, right? They just took them and combined them. Well, this is cool, this is a lot, this is how we can hide these things and continue to communicate purely with the chat, or we can create such cool products from our materials. Video, I think, was quite cool. I've definitely taken note of this for myself on ebook LM. I will use it in the future. Ah, give it a like if you liked this video. Be sure to subscribe to learn more about how to work with neural networks and how to earn money from them. Goodbye everyone. y